... relationship between fossil fuel consumption (disaggregated into coal, oil and natural gas) and carbon emissions in India. Design/methodology/approach This study uses the nonlinear autoregressive distributed lag (NARDL) methodology, as proposed by Shin et al. (2014), to capture the asymmetric...

... of China and India. Design/methodology/approach A non-linear autoregressive distributed lag (NARDL) model based on energy-augmented environment Kuznets curve (EKC) framework is used on annual time series covering the period 1965–2021. The study uses a precise econometric methodology, starting with unit...

... RQ1. What is the effect of oil price on RET investment? RQ2. What is the effect of ICT on RET investment? Crude oil price ICT RET investment Substitution effect NARDL The objective of the Sustainable Development Goal (SDG) 7 is to “Ensure access to affordable...

... is to examine whether changes in oil prices explain the pattern of Algeria real effective exchange rate (REER) using nonlinear nonlinear autoregressive distributed lag (NARDL), frequency domain causality approach and wavelet coherence analysis. This analysis based on NARDL has the advantage of capturing...

... method, seemingly unrelated regression (SUR)/3SLS, Johansen cointegration and Granger causality approach, fully modified OLS (FMOLS), fixed and random effects and the augmented STIRPAT model. Surprisingly, even with the statistical power of the non-linear autoregressive distributed lag (NARDL) technique...

... rights only Economic growth India Renewable energy NARDL Asymmetric causality analysis Nonrenewable energy Energy is a fundamental factor of production along with capital, labor and technology. It plays a crucial role in influencing the economic activity of a country. Sufficient use...